An improved block-based matching algorithm of copy-move forgery detection

Copy-move forgery is a common way of image tampering. Matching algorithm is the key step in copy-move forgery detection. Usually, the classical block-based matching algorithm (CBMA) can’t find all matched sub-blocks. In this paper, we propose an improved block-based matching algorithm (IBMA) to solv...

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Veröffentlicht in:Multimedia tools and applications Jg. 77; H. 12; S. 15093 - 15110
Hauptverfasser: Lai, Yuecong, Huang, Tianqiang, Lin, Jing, Lu, Henan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.06.2018
Springer Nature B.V
Schlagworte:
Algorithms
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Forgery
Image compression
Image detection
Image manipulation
JPEG encoders-decoders
Matching
Mathematical analysis
Matrix methods
Multimedia Information Systems
Random noise
Special Purpose and Application-Based Systems
Region duplication detection
Digital image forensics
Copy-move forgery
ISSN:1380-7501, 1573-7721
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Zusammenfassung:Copy-move forgery is a common way of image tampering. Matching algorithm is the key step in copy-move forgery detection. Usually, the classical block-based matching algorithm (CBMA) can’t find all matched sub-blocks. In this paper, we propose an improved block-based matching algorithm (IBMA) to solve the problem. Firstly, we put the sum of feature vectors in the first column to get a new matrix. Secondly, the matrix is sorted by first column. Finally, every row of the matrix will search the following rows until the difference in the first column is larger than the threshold value. Experiment results show that the improved block-based matching algorithm is better than the classical block-based matching algorithm when an image was distorted by Gaussian noise, salt-pepper noise, or JPEG compression. The reason is that improved block-based matching algorithm can look for all matched sub-blocks, which makes copy-move forgery detection methods more robust.
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ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-017-5094-y